Journal of Fundamentals of Renewable Energy and Applications
Open Access

Narayana Saibaba KV

Publications

• Research Article
  Modelling and Optimization of Dye Removal Process Using Hybrid Response Surface Methodology and Genetic Algorithm Approach
  Author(s): Narayana Saibaba KV, Pulipati KingNarayana Saibaba KV, Pulipati King
  
  In the present study, an efficiently, economically, and eco-friendly green carbon biosorbent derived from the plant bio waste, Acacia Arabica fruit, was used to treat aqueous solutions containing a basic dye, Methylene Blue (MB). The effect of various process parameters such as temperature, pH of solution, initial dye concentration and biosorbent dosage on dye removal was studied by using experimental runs designed by Central Composite Design. The optimization studies were carried out by changing the temperature in the range of 293-323 K, pH between (6-11), initial dye concentration between (25-150 mg/l), and adsorbent dosage between (0.05-0.25g). Regression and ANOVA data was analysed to know the interaction effect of dye on the biosorbent. A hybrid RSM-GA based technique was successfully developed to model, simulate, and optimize the biosorption process. The performance of the RSM-G.. View More»
  DOI: 10.4172/2090-4541.1000126

  Abstract PDF

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